Anomaly Detection for Mitigating xApp and E2 Interface Threats in O-RAN Near-RT RIC by Cheng-Feng Hung, Chi-Heng Tseng, Shin-Ming Cheng

“…As 5G networks advance, the Open Radio Access Network (O-RAN) is crucial in enabling openness and fostering collaboration across the telecom industry. O-RAN enhances flexibility, scalability, and interoperability through open interfaces, reducing dependence on a single vendor and promoting interoperability among vendors and solutions. …”
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Precision Medicine in Lung Cancer Screening: A Paradigm Shift in Early Detection—Precision Screening for Lung Cancer by Hsin-Hung Chen, Yun-Ju Wu, Fu-Zong Wu

“…While low-dose computed tomography (LDCT) has improved early detection and reduced mortality in high-risk populations, traditional screening strategies often adopt a one-size-fits-all approach based primarily on age and smoking history. …”
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Paving the way to detect adult malnourished patients in resource-limited settings: the first step to the right to nutritional care by E Van Tonder, FAM Wenhold, R Blaauw

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Federated learning with LSTM for intrusion detection in IoT-based wireless sensor networks: a multi-dataset analysis by Raja Waseem Anwar, Mohammad Abrar, Abdu Salam, Faizan Ullah

“…Using an FL approach, multiple IoT nodes collaboratively train a global LSTM model without exchanging raw data, thereby addressing privacy concerns and improving detection capabilities. …”
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The Future of Pathogen Detection in Aquaculture: Miniature Labs, Field‐Compatible Assays, environmental DNA and RNA, CRISPR and Metatranscriptomics by Jessica Rieder, Anastasiia Berezenko, Alexandra Meziti, Irene Adrian‐Kalchhauser

“…This paper presents an overview of promising current molecular and technological advancements that offer solutions for pathogen detection and system monitoring in aquaculture. We focus on recently developed point‐of‐care and on‐site detection methods using miniaturized laboratory equipment and robust workflows that operate independently of cold chain logistics. …”
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SPATIO-TEMPORAL CHANGE DETECTION OF URBAN GREEN SPACE AS A RESULT OF REAL ESTATE IN GREATER ACCRA REGION by Stephen Smith Ofori

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Machine learning analysis for detecting late recurrence and loss to follow‐up after renal cell carcinoma surgery by Kodai Sato, Tomokazu Sazuka, Takayuki Arai, Hiroaki Sato, Manato Kanesaka, Keisuke Ando, Shinpei Saito, Sangjon Pae, Yasutaka Yamada, Yusuke Imamura, Shinichi Sakamoto, Tomohiko Ichikawa

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Analisis Kinerja Intrusion Detection System Berbasis Algoritma Random Forest Menggunakan Dataset Unbalanced Honeynet BSSN by Kuni Inayah, Kalamullah Ramli

“…To overcome this problem, the Intrusion Detection System (IDS) is used as a solution in various government systems, in collaboration with Honeynet BSSN. …”
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A Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study by Aoyu Li, Jingwen Li, Yishan Hu, Yan Geng, Yan Qiang, Juanjuan Zhao

“…ConclusionsThe developed MCI detection framework has demonstrated exemplary performance and stability in large-scale validations. …”
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D-SPDH: Improving 3D Robot Pose Estimation in Sim2Real Scenario via Depth Data by Alessandro Simoni, Guido Borghi, Lorenzo Garattoni, Gianpiero Francesca, Roberto Vezzani

“…In recent years, there has been a notable surge in the significance attributed to technologies facilitating secure and efficient cohabitation and collaboration between humans and machines, with a particular interest in robotic systems. …”
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High sensitivity detection of Hepatitis B virus RNA based on 3D-DNA nanomachine and protein nanopore sensing by Shixin Yan, Chuipeng Kong, Jiazhe Cheng, Zhuoyun Tang, Ke Sun, Shanchuan Chen, Minghan Li, Chengyan Tao, Yue Li, Yanhua Zhao, Chuanmin Tao, Jia Geng, Feng Li

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Light-Triggered Graphene/Black Phosphorus Heterostructure FET Platform for Ultrasensitive Detection of Alzheimer’s Disease Biomarkers at the Zeptomole Level by Huide Wang, Meng Qiu, Chen Wang, Liding Zhang, Ning Fan, Zhi Chen, Yi Liu, Tianzhong Li, Ziqian Wang, Yihan Zhu, Yule Zhang, Xilin Tian, Yun Wang, Mingmin Yang, Dianyuan Fan, Qingming Luo, Ke Jiang, Haiming Luo, Han Zhang

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Research Note: Development of a reverse transcriptase recombinase-aided amplification method for detection of Parrot Borna Virus 4 by Yuhang Bai, Guixin Dong, Peng Zhang, Mengyue Dong, Jiaqian Rao, Qian Wang, Runlin Shao, Ruiheng Liu, Keyu Feng, Qingmei Xie, Xinheng Zhang

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MST-AI: Skin Color Estimation in Skin Cancer Datasets by Vahid Khalkhali, Hayan Lee, Joseph Nguyen, Sergio Zamora-Erazo, Camille Ragin, Abhishek Aphale, Alfonso Bellacosa, Ellis P. Monk, Saroj K. Biswas

“…In this paper, based on the Monk Skin Tone (MST) scale, which is less biased than the Fitzpatrick scale, we propose MST-AI, a novel method for detecting skin color in images of large datasets, such as the International Skin Imaging Collaboration (ISIC) archive. …”
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Sensitive and Facile Detection of Aloin via N,F-CD-Coated Test Strips Coupled with a Miniaturized Fluorimeter by Guo Wei, Chuanliang Wang, Rui Wang, Peng Zhang, Xuhui Geng, Jinhua Li, Abbas Ostovan, Lingxin Chen, Zhihua Song

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Federated Learning for COVID-19 Detection: Artificial Intelligence-Assisted Diagnosis from Unsegmented Chest Computed Tomography Scans by Lucian Mihai FLORESCU, Cristina Mihaela CIOFIAC, Ioana-Andreea CÎRLIG, Rossy Vladut TEICĂ, Ioana Andreea GHEONEA

“…Conclusions: These findings suggest that FL can effectively facilitate collaborative model development across institutions while preserving data privacy, offering a viable adjunct diagnostic tool to enhance COVID-19 detection and patient management. …”
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Internet of things driven object detection framework for consumer product monitoring using deep transfer learning and hippopotamus optimization by Amnah Alshahrani, Mukhtar Ghaleb, Hany Mahgoub, Achraf Ben Miled, Nojood O. Aljehane, Mohammed Yahya Alzahrani, Hasan Beyari, Sultan Alanazi

“…Object detection (OD) is the most significant and challenging problem in computer vision (CV). …”
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Evaluating Deep Learning and Machine Learning Models in Federated Learning for Credit Card Fraud Detection: A Comparative Study by Sener ALI

“…Both models achieve high accuracy, but the neural network consistently outperforms XGBoost on precision, recall, and F1 score, demonstrating deep learning’s superior capability in privacy-preserving, collaborative fraud detection.…”
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EGFR pathway subgroups in Chilean colorectal cancer patients, detected by mutational and expression profiles, associated to different clinicopathological features by Karin Alvarez, Paulina Orellana, Cynthia Villarroel, Luis Contreras, Hiroshi Kawachi, Maki Kobayashi, Ana Maria Wielandt, Marjorie De la Fuente, Juan Carlos Triviño, Udo Kronberg, Pilar Carvallo, Francisco López-Köstner

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Edge-FLGuard: A Federated Learning Framework for Real-Time Anomaly Detection in 5G-Enabled IoT Ecosystems by Manuel J. C. S. Reis

“…To address these challenges, we propose Edge-FLGuard, a federated learning and edge AI-based anomaly detection framework tailored for real-time protection in 5G-enabled IoT ecosystems. …”
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